JP3684158B2 - Color information processing method and program - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a display for displaying a color distribution indicated by sample points.
[0002]
[Prior art]
In recent years, with the spread of personal computers / workstations, desktop publishing (DTP) and CAD have come to be widely used. Under such circumstances, a color reproduction technique for actually reproducing a color expressed on a monitor by a computer using a color material has become important. For example, in DTP, in a computer system having a color monitor and a color printer, a color image is created / edited / processed on the monitor and output by the color printer. Here, the user strongly desires that the color image on the monitor and the printer output image coincide perceptually.
[0003]
However, in the color reproduction technique, it is difficult to achieve such perceptual coincidence between a color image and a printer output image for the following reason.
[0004]
In a color monitor, a color image is expressed by emitting light of a specific wavelength using a phosphor. On the other hand, in a color printer, light of a specific wavelength is absorbed using ink or the like, and a color image is expressed by the remaining reflected light. Due to the different image display forms in this way, the color reproduction range is greatly different when the two are compared. Further, even in the case of a color monitor, the color gamut differs between a liquid crystal monitor, an electron gun type cathode ray tube and a plasma display. Even color printers have different color gamuts due to differences in paper quality and ink usage. Therefore, various gamut mappings that correspond to one color reproduction area and another color reproduction area in the uniform color system to measure the perceptual match of display color images between display media with different color reproduction areas. Technology exists.
[0005]
Although the quality of these various gamut mapping techniques is ultimately determined by subjective evaluation of various images, it requires enormous costs, and the determination results obtained here are difficult to reflect in the gamut mapping techniques. Accordingly, there is a need for an analysis / evaluation technique of a gamut mapping technique that can determine whether the quality is good or not and reflect the determination result in the gamut mapping technique.
[0006]
Here, as a conventional analysis technique for determining the quality of the gamut mapping technique, calculation of the sum of color differences for all colors, evaluation of color differences for individual colors, or the like is used.
[0007]
[Problems to be solved by the invention]
However, a so-called image is a combination of color information and spatial information, and whether the gamut mapping technique is good or not must also take into account whether or not the spatial information is stored well. However, the quantitative evaluation scale described above does not include a judgment scale for spatial information, and only one aspect of the gamut mapping technique can be judged.
[0008]
Further, since the color information is distributed in a three-dimensional space, the quantitative evaluation information is enormous and it is difficult to collect desired local information.
[0009]
The present invention has been made in view of the above-described problems, and an object thereof is to make it possible to easily and quantitatively evaluate color information.
[0010]
[Means for Solving the Problems]
In order to achieve the above object, the present invention provides a color information processing method for displaying a color distribution indicated by sample points, the second table corresponding to the sample points indicated by the first color system. A color distribution information input step of inputting color distribution information indicating a color coordinate value in the color system, a user instruction input step of inputting a user instruction relating to a generation operation of the three-dimensional object surface information, and the first color system Obtaining a color coordinate value in the second color system corresponding to the selected sample point, and selecting the obtained color coordinate value Generating the three-dimensional object data from the image, generating a surface color information based on the selected sample point, and displaying a color distribution based on the three-dimensional object data and the surface color information Characterized in that it has and.
[0011]
DETAILED DESCRIPTION OF THE INVENTION
In the present embodiment, a color information analysis apparatus that performs various displays of a three-dimensional distribution of color information is realized as a means for realizing qualitative / intuitive judgment / evaluation.
[0012]
Specifically, color distribution information is acquired as to what kind of color coordinates the sample points regularly arranged in the RGB color system can take in the L * a * b * color system. After the three-dimensional object surface information is constructed based on the color distribution information, the three-dimensional object surface information is displayed in a pseudo three-dimensional manner. Further, the user instructs / selects in what display form the object surface is displayed.
[0013]
According to the present embodiment, for example, it is possible to qualitatively / intuitively determine / evaluate local / global information of gamut mapping. Furthermore, since the local problem of gamut mapping can be accurately grasped / determined, the determination result can be quickly reflected in the gamut mapping technique.
[0014]
FIG. 1 is a block diagram showing a system configuration of a color distribution analyzing apparatus as a first embodiment of the present invention. In the above configuration, 101 is a CPU, 102 is a ROM, 103 is a main memory, 104 is a SCSI interface, 105 is an HDD, 106 is a graphic accelerator, 107 is a color monitor, 108 is a USB controller, 109 is a color printer, and 110 is a parallel port. A controller, 111 is a colorimeter, 112 is a keyboard / mouse controller, 113 is a keyboard, 114 is a mouse, and 115 is a PCI bus. The CPU 101 executes various processes to be described later according to programs / data held in the ROM 102 and the HDD 105.
[0015]
In the above configuration, when the user performs color analysis, the computer system operates according to the following operation procedure.
[0016]
When the user instructs the CPU 101 to start the operation of the color analysis program via the keyboard 113 and the mouse 114, the CPU 101 reads the color analysis program from the HDD 105, stores it in the main memory 103, and executes the program from a predetermined address. The executed color analysis program first requests the user to specify a color distribution information file to be analyzed. Based on the request, when the user inputs the path information of a predetermined color distribution information file with the keyboard 113 and the mouse 114, the color analysis program stores the file in the main memory 103 and initializes various data. It shifts to the input standby state from the user. Thereafter, in accordance with an operation instruction from the user, the color information distribution data stored in the main memory 103 is appropriately processed and displayed on the color monitor 107 through the graphic accelerator 106. The processing operation of the color analysis program will be described in detail later.
[0017]
The color distribution data stored in the color distribution information file in this embodiment will be described.
[0018]
The color distribution data describes the correspondence between RGB color coordinate data of lattice points in the RGB color space and L * a * b * coordinate values in the L * a * b * color space. FIG. 2 shows a schematic diagram of lattice points in the RGB color space. In FIG. 2, the R, G, and B axes have four grid points, and each sample point corresponds to black (Bk), green (G), red (R), cyan (C), and white (W). RGB values and the grid coordinates of the sample point by grid number are written.
[0019]
The data format in the file will be described with reference to FIG. An R / G / B value step is described at the top of the file. Following this description, the color distribution data is described in the order of nesting in the order of R, G, and B, and the L * a * b * coordinate values are stored in the file in the order of L * values, a * values, and b * values. Described. FIG. 3 shows a file format when the number of grid points is 9 for all of the R axis, G axis, and B axis.
[0020]
The color distribution information file converts the result of gamut mapping processing on the color coordinates of the grid points on the grid points in the RGB color space on the computer system into L * a * b * data To generate. . By generating the color distribution information file in this way, it is possible to qualitatively / intuitively determine / evaluate local / global information on gamut mapping using a color analysis program described later. Furthermore, since the local problem of gamut mapping can be accurately grasped / determined, the determination result can be quickly reflected in the gamut mapping technique.
[0021]
Further, a patch image is generated using the color coordinates of the grid points as a color patch, displayed on a monitor / printer, and then the patch image is measured by a colorimeter. By generating a color distribution information file by this method, a color distribution indicating the output characteristics of the device can be obtained.
[0022]
In the generation of the color distribution information file, perceptual adaptation processing such as CIECAM97s may be used.
[0023]
Hereinafter, the processing operation of the color analysis program in this embodiment will be described with reference to the flowchart of FIG. The started color analysis program first performs an initialization operation such as securing a working heap memory in step 401. Subsequently, in step 402, input of path information of the color distribution information file from the user is awaited. If the input path information is invalid, the process returns to step 402. If the input path information is correct, the process proceeds to step 403. In step 403, the color distribution information file is read based on the path information and stored in the heap memory. In step 404, 3D object data is initially generated based on the color distribution data, and geometry information and display form information for 3D display are initialized. The 3D object data generation and display in this step will be described later. In step 405, the 3D object data is appropriately displayed on the monitor based on the display form information and the geometry information (display viewpoint / position information). Here, the geometry information is composed of a 3D object position in the world coordinate system, a 3D object rotation angle, a screen coordinate, a screen rotation angle, a viewpoint coordinate, a line-of-sight vector, and the like. Thereafter, in step 406, a message is waited for, various messages are determined, and the process proceeds to an appropriate processing step.
[0024]
Hereinafter, processing for the message notified in step 406 will be described. The message list is as shown in FIG.
[0025]
Message ZOOM_INOUT (zoom out):
When the message ZOOM_INOUT is detected in step 405, the ZOOM IN / OUT amount added to the message is extracted, and then the process proceeds to step 407. In step 407, based on the extracted ZOOM IN / OUT amount, the geometry information of the screen coordinates and the viewpoint coordinates is updated, and the process proceeds to step 405. In step 405, the 3D object data display is updated based on the updated geometry information.
[0026]
Message MOVE:
When the message MOVE is detected in step 405, the viewpoint parallel movement amount / viewpoint rotation amount added to the message is extracted, and then the process proceeds to step 408. In step 408, based on the extracted viewpoint parallel movement amount / viewpoint rotation amount, the geometry information of the viewpoint coordinates and the line-of-sight vector is updated, and the process proceeds to step 405. In step 405, the 3D object data display is updated based on the updated geometry information.
[0027]
Message RASTERIZE_MODE (rasterize mode):
When the message RASTERIZE_MODE is detected in step 405, the display mode selection information added to the message is extracted, and the process proceeds to step 409. In step 409, the display form information is updated based on the extracted display form selection information, and the process proceeds to step 405. In step 405, the 3D object data display is updated based on the updated display form information.
[0028]
Message CHANGE_GRIDAREA (change grid area):
When the message CHANGE_GRIDAREA is detected in step 405, the display grid range selection information added to the message is extracted, and then the process proceeds to step 410. In step 410, the 3D object data is updated based on the extracted display grid range selection information, and the process proceeds to step 405. In step 405, the updated 3D object data is updated and displayed.
[0029]
Message CHANGE_SCOPE (change scope):
When the message CHANGE_SCOPE is detected in step 405, the display internal hierarchy selection information added to the message is extracted and converted into display grid range selection information, and the process proceeds to step 410. In step 410, the 3D object data is updated based on the display grid range selection information, and the process proceeds to step 405. In step 405, the updated 3D object data is updated and displayed.
[0030]
Message CHANGE_HUEAREA (Change Hue Area):
When the message CHANGE_HUEAREA is detected in step 405, the display hue range selection information added to the message is extracted, and then the process proceeds to step 411. In step 411, the 3D object data is updated based on the extracted display hue range selection information, and the process proceeds to step 405. In step 405, the updated 3D object data is updated and displayed.
[0031]
Message CHANGE_DISPLAYSURFACE (change display surface):
When the message CHANGE_DISPLAYSURFACE is detected in step 405, the display surface selection information added to the message is extracted, and then the process proceeds to step 412. In step 412, the 3D object data is updated based on the extracted display surface selection information, and the process proceeds to step 405. In step 405, the updated 3D object data is updated and displayed.
[0032]
Message PROCESS_END (process end):
When the message PROCESS_END is detected in step 405, the process proceeds to step 413. In step 413, after performing an end processing operation such as releasing the heap memory, the color analysis program is ended.
[0033]
Hereinafter, 3D object data generation / update and color information distribution data display in this embodiment will be described.
[0034]
The initial generation and display of 3D object data in step 404 will be described. When generating the 3D object data, first, two combinations of triangles are generated on the surface of the maximum grid area in the RGB color space in the minimum rectangle formed by each grid point. This schematic diagram is shown in FIG. In FIG. 6, a region surrounded by a thick line is a minimum rectangle formed by each lattice point. In this area, two types of combinations are generated: a combination of two triangles divided by a broken line and a combination of two triangles divided by a two-dot broken line. Next, the lattice point coordinates which are the vertices of these triangles are converted into corresponding L * a * b * coordinate values using the color distribution information data, and 3D object data is configured from the combination of these converted triangles. Here, each of the combinations of two triangles is selected so that the volume of the 3D object data is maximized. That is, when there are N minimum squares formed by each grid point in the RGB color space, 3D object data is selected from one of 2 N powers.
[0035]
An example of the display on the color monitor 107 in this embodiment is shown in FIG.
[0036]
The display form selection and display in step 409 will be described. As display forms, five forms of wire frame display, point display, solid display 1, solid display 2, and solid display 3 are prepared. Here, the solid display 1 takes the triangular patch data of the 3D object data, and the solid surface color is calculated from the grid point coordinate values in the RGB color space. In the solid display 2, a curved surface is displayed from the 3D object data, and the solid surface color is calculated from the grid point coordinate values in the RGB color space.
[0037]
In the solid display 3, the triangular patch data of the 3D object data is taken and the solid surface color is calculated from the coordinate values in the L * a * b * color space which is the display space. The user selects the display form using the user interface of FIG. 8, the display form selection message RASTERIZE_MODE is notified to the color analysis program, and the color analysis program displays the display form according to the selection information added to the message as described above. To change. FIG. 9 shows a schematic diagram of the monitor display when the wire frame display is selected, and FIG. 10 shows a schematic diagram of the monitor display when the point display is selected. Although the hidden surface is originally displayed, the hidden surface is omitted for the sake of simplicity. FIG. 11 shows a schematic diagram of the monitor display when the solid display 2 is selected. When the solid display 1 and the solid display 3 are selected, they are displayed with appropriate colors in the form as shown in FIG.
[0038]
The display grid range selection and display in step 410 will be described.
[0039]
FIG. 12 shows a user interface for the user to select a display grid range. As is apparent from the figure, the user selects a rectangular area to be displayed in the RGB color space by selecting the grid range of each of the R value, G value, and B value. When the user selects a display grid range using this user interface, a display grid range selection message CHANGE_GRIDAREA is notified to the color analysis program, and the color analysis program 3D as follows according to the RGB grid range information added to the message. Update object data.
[0040]
First, in the RGB color space, two combinations of triangles are generated in the smallest square formed by each lattice point on the surface of the selected rectangular area. This schematic diagram is the same as that shown in FIG. Next, the lattice point coordinates which are the vertices of these triangles are converted into corresponding L * a * b * coordinate values using the color distribution information data, and 3D object data is configured from the combination of these converted triangles. Here, each of the combinations of two triangles is selected so that the volume of the 3D object data is maximized. That is, when there are N minimum squares formed by the respective grid points in the RGB color space, 3D object data is selected from one of 2 N powers.
[0041]
In this embodiment, the number of grid points in the color distribution information is 6, and the display grid range is [2,5] on the R axis, [2,4] on the G axis, FIG. 14 shows an example of display on the color monitor 107 when [1,4] is selected on the B axis. Here, the grid range in the RGB color space is as shown in FIG. In FIG. 13, the range indicated by the dotted line is the maximum lattice area, and the range indicated by the solid line is the selected square area. A broken line / solid line intersection indicates a lattice point.
[0042]
The display internal hierarchy selection and display in step 410 will be described. This operation sets the display RGB grid range by setting only one value, and facilitates internal analysis.
[0043]
FIG. 15 shows a user interface for the user to select a display internal hierarchy. Here, the user selects the square area to be displayed in the RGB color space by selecting the number of display internal layers of the square area. When the user selects a display internal layer using this user interface, a display internal layer selection message CHANGE_SCOPE is notified to the color analysis program, and the color analysis program sets the number of display internal layers, which is display range information added to the message, as follows. To convert to RGB grid range information.
[0044]
If the number of display internal layers is sc, the number of grid points on the R axis is Nr, the number of grid points on the G axis is Ng, and the number of grid points on the B axis is Nb, the RGB grid range is
([Rsc, RNr-1-sc], [Gsc, GNg-1-sc], [Bsc, BNb-1-sc])
It becomes. Here, Ri is the R value taken by the i-th grid point on the R axis, Gi is the G value taken by the i-th grid point on the G axis, and Bi is B taken by the i-th grid point on the B axis. Value.
[0045]
That is, both ends of the maximum lattice range are deleted by the designated internal lattice layer. If the display internal layer number sc is 0, the RGB lattice range is the lattice surface as in the initial generation described above. Thereafter, the 3D object data is updated according to the RGB lattice range information. The details of the update process are the same as described above, and will be omitted.
[0046]
In the present embodiment, an example of display on the color monitor 107 when the number of grid points in the color distribution information is 6 for each of the R axis, G axis, and B axis and the user selects the display range internal hierarchy as 1. Is shown in FIG. Here, the grid range in the RGB color space is as shown in FIG. In FIG. 16, the range indicated by the dotted line is the maximum lattice area, and the range indicated by the solid line indicates the rectangular area selected. A broken line / solid line intersection indicates a lattice point.
[0047]
The display hue range selection and display in step 411 will be described. This processing is not executed unless the number of grid points is equal on the R axis, the G axis, and the B axis and the steps of the grid points are not equal.
[0048]
FIG. 18 shows a user interface for the user to select the display hue range. Here, the user selects a hue range to be displayed in the RGB color space by selecting at least one of the six display hue ranges. When the user selects a display hue range using this user interface, a display hue range selection message CHANGE_HUEAREA is notified to the color analysis program, and the color analysis program responds to the hue selection information added to the message as follows by the 3D object. Update the data.
[0049]
First, in the RGB color space, one of the six tetrahedron regions shown in FIG. 19 is selected according to the hue selection information.
[0050]
Two combinations of triangles are generated in the smallest rectangle formed by each lattice point on the surface of the selected tetrahedron region. In the surface area where the quadrangle cannot be generated, the smallest triangle is generated. Next, the lattice point coordinates which are the vertices of these triangles are converted into corresponding L * a * b * coordinate values using the color distribution information data, and 3D object data is configured from the combination of these converted triangles. Here, in the same manner as in the case of selecting the display grid range, each of the combinations of two triangles is selected so that the volume of the 3D object data is maximized.
[0051]
FIG. 20 shows an example of display on the color monitor 107 when the display hue range is selected as the MR region in the present embodiment.
[0052]
The display surface selection and display in step 412 will be described. FIG. 21 shows a user interface for the user to select a display surface. The check box in the figure is switched between enabled / disabled according to the current 3D object data, and in the case of being disabled, the check is disabled because the text color becomes lighter, as in the check box for hue plane 1 / hue plane 2. It shows that there is. Here, the user selects at least one arbitrary display surface that is enabled from among the eight display surfaces.
[0053]
When the user selects a display surface using this user interface, a display surface selection message CHANGE_DISPLAYSURFACE is notified to the color analysis program, and the color analysis program converts the 3D object data from the display surface selection information added to the message as follows. Update.
[0054]
The internal structure of the 3D object data is as shown in FIG. 22, and the structure of the 3D object data generated by specifying the RGB lattice range is, for example, as shown in FIG. It is as shown in FIG. Here, the display permission / denial is updated according to the display surface selection information. An example of display on the color monitor 107 when the WMYR plane and the WYCG plane are selected as the display plane is shown in FIG.
[0055]
In the present embodiment, the display device is limited to the monitor, but it is of course possible to output to a printer / plotter or the like.
[0056]
The color system that defines the grid points is not limited to the RGB color system, but other color systems such as the CMY color system, the XYZ color system, the Luv color system, and the L * a * b * color system. It doesn't matter.
[0057]
Similarly, the color coordinates of the sample point are not limited to the L * a * b * color system, but may be other color systems such as the RGB color system, the CMY color system, the XYZ color system, and the Luv color system. Absent.
[0058]
As described above, according to the present embodiment, local / global information can be qualitatively / intuitively determined / evaluated for color distribution information.
[0059]
【The invention's effect】
According to the present invention, color distribution information can be easily and quantitatively evaluated. Further, since the surface color information is generated based on the selected sample point, the color can be visually recognized, and the color distribution information can be evaluated intuitively.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a system configuration of a color information analyzing apparatus according to an embodiment.
FIG. 2 is a schematic diagram showing a grid point arrangement in an RGB color space.
FIG. 3 is a diagram illustrating an example of a file format of a color distribution information file.
FIG. 4 is a flowchart illustrating a processing operation of the color information analysis apparatus.
FIG. 5 is a diagram showing a message list.
FIG. 6 is a diagram illustrating a minimum quadrangle formed by each lattice point.
FIG. 7 is a diagram illustrating an example of display of 3D object data.
FIG. 8 is a diagram showing a user interface for selecting a display form.
FIG. 9 is a diagram illustrating an example of display of 3D object data.
FIG. 10 is a diagram illustrating an example of display of 3D object data.
FIG. 11 is a diagram illustrating an example of display of 3D object data.
FIG. 12 is a diagram showing a user interface for display grid range selection.
FIG. 13 is a diagram illustrating an example of a grid range in an RGB color space.
FIG. 14 is a diagram illustrating an example of display of 3D object data.
FIG. 15 is a diagram showing a user interface for selecting a display internal hierarchy.
FIG. 16 is a diagram showing an example of a selected rectangular area range in the RGB color space.
FIG. 17 is a diagram illustrating an example of display of 3D object data.
FIG. 18 is a diagram showing a user interface for selecting a display hue range;
FIG. 19 is a schematic diagram showing a tetrahedral area selected according to hue selection information.
FIG. 20 is a diagram illustrating an example of display of 3D object data.
FIG. 21 is a diagram showing a user interface for selecting a display surface.
FIG. 22 is a diagram illustrating an internal structure of 3D object data.
FIG. 23 is a diagram illustrating an example of an internal structure of 3D object data.
FIG. 24 is a diagram illustrating an example of display of 3D object data.

Claims (15)

A color information processing method for displaying a color distribution indicated by sample points,
A color distribution information input step of inputting color distribution information indicating color coordinate values in the second color system corresponding to the sample points indicated in the first color system;
A user instruction input step for inputting a user instruction regarding the generation operation of the three-dimensional object data;
An acquisition step of selecting a sample point according to the user instruction from the sample points indicated by the first color system and acquiring a color coordinate value in the second color system corresponding to the selected sample point When,
Generating the three-dimensional object data from the acquired color coordinate values, and generating surface color information based on the selected sample points;
A color information processing method comprising: a display step of displaying a color distribution based on the three-dimensional object data and the surface color information. A display viewpoint / position information control step for controlling at least one of a viewpoint, a line of sight, an object position, an object rotation, a screen position, and a screen angle according to the user instruction;
Based on display control information comprising at least one of viewpoint information, line-of-sight information, object position information, object rotation information, screen position information, and screen angle information by the display viewpoint / position information control means, the pseudo of the three-dimensional object data The color information processing method according to claim 1, further comprising a control step of controlling three-dimensional display.   The first color system and the second color system are any one of an RGB color system, a CMY color system, an XYZ color system, a Luv color system, and a Lab color system. The color information processing method according to claim 1 or 2.   4. The color information processing method according to claim 1, wherein the sample points are regularly arranged in a grid pattern in the first color system. In the user instruction input step, a user instruction for designating a display grid range for each color component in the first color system is input,
2. The color according to claim 1, wherein in the generation step, the three-dimensional object data is generated based on a color coordinate value in the second color system of the sample point in the designated display grid range. Information processing method. In the user instruction input step, input a user instruction that specifies the number of internal lattice layers based on the outermost lattice,
In the generating step, the second color specification of the sample point defined by deleting both ends of the maximum lattice range in the first color specification system by the designated number of internal lattice layers in accordance with the number of internal lattice layers. 6. The color information processing method according to claim 1, wherein three-dimensional object data is generated based on a color coordinate value in the system. In the arrangement of the sample points on the lattice in the first color system, the number of lattices of each three-dimensional basis is the same, and the lattice steps are the same for each basis.
The generating step includes forming a tetrahedron from four vertices of a lattice origin, an outermost lattice point located diagonally to the origin, and adjacent lattice vertices selected based on a display hue range, and the tetrahedral region 7. The color information processing method according to claim 1, wherein color coordinate values that can be taken by the surface sample points in the second color system are acquired to generate three-dimensional object data.   The three-dimensional object is configured as a set of triangular patches, and the triangular patch has the largest volume of a three-dimensional object among the combinations of two triangular patches in the smallest square composed of the lattice points. The color information processing method according to claim 1, wherein the color information processing method is selected as described above. The three-dimensional object data is composed of a plurality of surface information,
9. The color information processing method according to claim 1, wherein display / non-display can be arbitrarily controlled for each surface information based on preset display surface selection information.   The user instruction includes a user instruction that indicates a type of display form, and the display form type includes a point model display, a wire frame model display, a polygon model display, and a smooth shading display. The color information processing method according to claim 1.   The color information processing method according to claim 1, wherein the surface color information is obtained according to a color coordinate value of a sample point in the first color system.   The color information processing method according to claim 1, wherein the surface color information is obtained according to a color coordinate value in the second color system.   2. The color according to claim 1, wherein the color coordinate value in the second color system is obtained based on a result of performing gamut mapping on a sample point indicated in the first color system. Information processing method.   A program for realizing the color information processing method according to any one of claims 1 to 13 by a computer. A color information processing apparatus for displaying a color distribution indicated by sample points,
Color distribution information input means for inputting color distribution information indicating color coordinate values in the second color system corresponding to the sample points shown in the first color system;
User instruction input means for inputting a user instruction regarding the generation operation of the three-dimensional object;
Acquisition means for selecting a sample point corresponding to the user instruction from the sample points indicated by the first color system and acquiring a color coordinate value in the second color system corresponding to the selected sample point When,
Generating means for generating the three-dimensional object data from the acquired color coordinate values and generating surface color information based on the selected sample points;
A color information processing apparatus comprising: display means for displaying a color distribution based on the three-dimensional object data and the surface color information.

Images